At Kantox, we are looking for an FX Data Analyst Intern to join our Product & Data Analysis team and contribute to building the knowledge foundations that will power the next generation of our Commercial tools. 🚀
This is a full-time internship where you will work hands-on with real business data, collaborate with multiple teams, and help shape structured insights that could become the backbone of future automation and intelligent assistants at Kantox. It’s a unique opportunity to learn, grow, and make a meaningful impact from day one. 📈
The Product & Data Analysis team sits at the intersection of Product, Commercial, and Strategy. We work closely with various stakeholders to transform raw information into actionable insights, frameworks, and data-driven recommendations.
You’ll join a collaborative, international team that values curiosity, clarity, and structure. Our mission is to build a unified ecosystem of commercial knowledge that scales across teams and markets.
Kantox is a leading fintech company specializing in Currency Management Automation, helping businesses streamline and automate their FX processes. With offices in Barcelona and London and more than 200 team members, we serve clients in 75 countries who have collectively exchanged over USD $18 billion with us.
Since 2023, Kantox has been part of the BNP Paribas Group and continues to grow fast—combining the agility of a scale-up with the strength of a global financial leader.
Kantox is proud to be an equal opportunity employer. We welcome applicants of all backgrounds regardless of race, religion, gender identity, sexual orientation, age, disability, or any other protected characteristic.
Kantox is a multinational fintech company offering FX management solutions. Technology and expertise to solve your currency-related business problems
Please mention you found this job on AI Jobs. It helps us get more startups to hire on our site. Thanks and good luck!
Be the first to apply. Receive an email whenever similar jobs are posted.
Understand the required skills and qualifications, anticipate the questions you may be asked, and study well-prepared answers using our sample responses.
Data Analyst Q&A's